SegCODEBRIM:

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Dataset information

Catalog

Zenodo catalog

Country of origin

EU institutions

Updated

2023.11.05 00:00

Created

2023.01.01

Available languages

English

Keywords

concrete, machine learning, defect inspection, cracks, computer vision, dataset, semantic segmentation

Datasource

Official portal for European data link

Quality scoring

Dataset description

SegCODEBRIM: COncrete DEfect BRidge IMage Dataset for semantic Segmentation of concrete cracks. The images were taken from the CODEBRIM (https://zenodo.org/records/2620293) dataset and annotated manually. Dataset is presented and detailed in our WACV 2024 publication: https://arxiv.org/abs/2309.09637v1 . If you make use of the dataset please cite it as follows: "Achref Jaziri, Martin Mundt, Andres Fernandez Rodriguez, Visvanathan Ramesh. Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024" This GitHub repository presents the code to reproduce the paper results and data loaders: https://github.com/achrefjaziri/SimCrack

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